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Security Scan Report: boanergesbiblecollege.org

Redirected to:
https://earlier-sense-668791.framer.app/
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Submitted: Jun 17, 2026, 10:29:33 PMCompleted: Jun 17, 2026, 10:30:44 PMpubliccompleted
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Summary

This website contacted 14 IPs in 2 countries across 7 domains to perform 34 HTTP transactions. The main domain is earlier-sense-668791.framer.app and was registered NaN years ago.

Submitted URL: https://boanergesbiblecollege.org/Webmail/2205030625.html

Effective URL: https://earlier-sense-668791.framer.app/Redirected

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Page hosts a credential‑phishing login form with disguised password field and cross‑origin submission; treat as high‑risk and report.

Risk Factors
Credential collection form with password field
Cross‑origin form submission to a different domain
Obfuscated JavaScript with high entropy and base64 encoding
Unranked domain lacking reputation
Unicode confusion in input fields
Domain age information unavailable

Details

Page Title

720

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(25%)

Domain Information

The domain name 'boanergesbiblecollege.org' uses the non-profit oriented generic top-level domain (.org) and has no subdomain. Its registrable label 'boanergesbiblecollege' stretches across 21 characters with nine vowels and twelve consonants. Breaking it apart gives 3 words: boanerges, bible, college. Median word length is seven characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://boanergesbiblecollege.org/Webmail/2205030625.html

Page Load Overview

2.62s
Total Load Time
34
HTTP Requests
7
Domains
80 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:134 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software25% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
25%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
831.43.160.6Amsterdam, North Holland, Netherlands
AS16509Amazon.com, Inc.
265.9.175.99United States
AS16509Amazon.com, Inc.
265.9.175.129United States
AS16509Amazon.com, Inc.
265.8.131.45United States
AS16509Amazon.com, Inc.
265.8.131.116United States
AS16509Amazon.com, Inc.
218.64.211.45United States
AS16509Amazon.com, Inc.
265.8.131.117United States
AS16509Amazon.com, Inc.
265.9.175.65United States
AS16509Amazon.com, Inc.
218.64.211.76United States
AS16509Amazon.com, Inc.
265.9.175.34United States
AS16509Amazon.com, Inc.
3414--

Detected Technologies4

Open-Graph-Protocolvwebsite
100%
MetaGenerator
100%
React
50%
Framer Sites
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T169C310936119F064ACD7697EEB5DE52C98252140FF32C38BB2EE825F45CDAF42252B1C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:o+HzVJVXL3eHCe+8VtedkVmVPaU9VlaTVhVk9VCwlhsI9KBG1y:oE6+shG1y

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:124135:CiCjATEcDAzlpeMEFEMi2AIoKQYCcFcgigAhoEDCR0BJCSBIrPBKlFYsL2RAsAEwQgMvEgUFWBRAQkcAKhEI8orzQCiCBbhN

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:e7e7e7ffffffe3ff
Perceptual Hash:f73322ccdd642266
Difference Hash:0c0c4d000800060c
Wavelet Hash:e7e7e4fc32330024
Color Hash:#8bac53

Other Hashes

Crop Resistant:0c0c4d000800060c

Scan History

Scan history not available

Unable to load historical scan data